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Text Analysis of Corpus Linguistics in a Post-concordancer Era

  • Simon Ho WangEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10108)

Abstract

In this methodological paper, I review a number of studies in corpus linguistics that rely heavily on off-the-shelf computer programs known as concordancers. While acknowledging the fruitful research findings generated using concordancers, it is argued that natural language processing (NLP) tools such as Stanford parser and SyntaxNet should be used to automate certain analytical procedures that are often performed manually by corpus linguistics researchers using concordancers. More collaboration efforts between NLP researchers and corpus linguists are called for to help advance the field of corpus linguistics into a post-concordancer era.

Keywords

Natural Language Processing Language Teaching Syntactic Complexity Sentence Boundary Corpus Linguistic 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Language CenterHong Kong Baptist UniversityKowloon Tong, KowloonHong Kong

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